Faculty Publications

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    Energy Efficient Network Design for IoT Healthcare Applications
    (Springer Science and Business Media Deutschland GmbH, 2017) Sarwesh, P.; Shet, V.; Chandrasekaran, K.
    Internet of Things (IoT) is the emerging technology, that holds huge number of internet enabled devices and allows to share the data globally. IoT technology provides effective healthcare service by constant monitoring and reporting the chronic conditions of patients. IoT is highly greeted by healthcare sectors. IoT devices are smart in nature but constrained by energy, because most of the IoT applications uses battery operated smart devices. Hence energy is considered as valuable resource in energy constrained IoT environment. In this chapter energy efficient network architecture is proposed for IoT health care applications. Proposed network architecture describes the suitable combination of two different techniques such as, routing technique and node placement technique. In routing technique energy level of the nodes are monitored, to transmit the data in energy efficient path. In node placement technique, data traffic is balanced by varying the density of the nodes. This chapter describes the major factors that affect energy efficiency and it elaborates the suitable techniques to improve energy efficiency in IoT network. © 2017, Springer International Publishing AG.
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    Energy efficient computing- Green cloud computing
    (2013) Jain, A.; Míshra, M.; Peddoju, S.K.; Jain, N.
    Moving towards Cloud Computing, high performance computing usage of huge data center (DC) and huge cluster is increasing day by day and energy consumption by these DC and energy dissipation in environment by these DC is also rising day by day. The large amount of CO2 dissipation in environment has generated the necessity of Green computing (saving energy by recycling it and reusing it over a period of time and minimizing the wastage in terms of usage of resources). More processor chips generates more heat, more heat requires more cooling and cooling again generates heats and thus we come to a stage where we want to balance the system by getting the same computing speed at decreased energy consumption. In this paper we proposed different ideas towards green cloud computing approach. © 2013 IEEE.
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    Study and analysis of various task scheduling algorithms in the cloud computing environment
    (Institute of Electrical and Electronics Engineers Inc., 2014) Mathew, T.; Chandra Sekaran, K.C.; Jose, J.
    Cloud computing is a novel perspective for large scale distributed computing and parallel processing. It provides computing as a utility service on a pay per use basis. The performance and efficiency of cloud computing services always depends upon the performance of the user tasks submitted to the cloud system. Scheduling of the user tasks plays significant role in improving performance of the cloud services. Task scheduling is one of the main types of scheduling performed. This paper presents a detailed study of various task scheduling methods existing for the cloud environment. A brief analysis of various scheduling parameters considered in these methods is also discussed in this paper. © 2014 IEEE.
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    Analysis of MapReduce scheduling and its improvements in cloud environment
    (Institute of Electrical and Electronics Engineers Inc., 2015) D'Souza, S.; Chandrasekaran, K.
    MapReduce has become a prominent Parallel processing model used for analysing large scale data. MapReduce applications are increasingly being deployed in the cloud along with other applications sharing the same physical resources. In this scenario, efficient scheduling of MapReduce applications is of utmost importance. Also, MapReduce has to consider various other parameters like energy efficiency and meeting SLA goals besides achieving performance when executing jobs in cloud environments. In this work, we have classified MapReduce Scheduling as Cluster based Scheduling and Objective based Scheduling. We then summarize and analyse the different class of schedulers highlighting the strong points and limitations of each of the scheduling approaches. The Adaptive scheduling techniques provide dynamic resource management and meet performance goals. The Energy efficient scheduling techniques aim to cut data centre costs by using different approaches. Finally, we discuss the current challenges and future work. © 2015 IEEE.
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    Energy efficient and reliable network design to improve lifetime of low power IoT networks
    (Institute of Electrical and Electronics Engineers Inc., 2017) Sarwesh, P.; Shekar, N.; Shet, V.; Chandrasekaran, K.
    Internet of Things is smart technology that is used in wide range of applications, IoT converges physical devices with cyber systems to facilitate global information sharing. In IoT network, devices are constrained by energy (limited by battery power). Thus, efficient energy utilization is the major challenge in low power IoT networks. In this paper, energy efficient and reliable network architecture is proposed to improve the lifetime of IoT networks. In proposed network architecture, routing technique and node placement technique are effectively integrated to address energy and reliability related issues. In node placement technique, density of sensor nodes are hierarchically varied to balance the energy consumption and reliability related parameters are included in routing mechanism. Hence, effective combination of these two techniques in single network architecture prolongs the lifetime of the network. In proposed work, sensor nodes and relay nodes, sensors do sensing and relay nodes handles path computation and data transmission. We included IEEE 802.15.4 PHY/MAC radio and IPv6 module in proposed work to adopt IoT Scenario. From our results, it is observed that proposed architecture prolongs the lifetime of low power IoT network. © 2017 IEEE.
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    Compressed Sensing for Energy and Bandwidth Starved IoT Applications
    (Institute of Electrical and Electronics Engineers Inc., 2018) Ramachandra, G.; Bhat, M.S.
    Ensuring security through the use of video surveillance cameras at public places is becoming attractive these days, thanks to the efficient compression, transmission and storage schemes. To up-scale the surveillance mechanism to large sensor networks, it is imperative that the applications become compatible to wireless sensor networks using Internet of Things (IoT) infrastructure. IoT nodes are generally energy and bandwidth-limited owing to their small size and large scale deployment. Therefore, any image/video acquisition application using IoT infrastructure should function within these constraints. Compressed sensing (CS) is one such paradigm that uses simultaneous sensing and compression and provides a technique for efficient image/video acquisition. This paper investigates the use of compressed sensing for image acquisition in IoT based applications that suffer from energy, bandwidth and storage limitations. © 2018 IEEE.
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    Novel schemes for energy-efficient IoT
    (Springer Verlag service@springer.de, 2019) Venkateshwarlu, K.; Shetty D, D.
    Internet of things (IoT) is a global infrastructure for the information society which enables advanced services by interconnecting physical and virtual things based on existing and evolving inter-operable information and communication technologies. Developing green IoT is a difficult task because IoT has more devices and has complex structure, so most of the current schemes for deploying nodes in wireless sensor networks (WSNs) cannot be applied directly in IoT. In this paper, we propose a scheme which gives an energy-efficient IoT. Here, we propose two schemes for framework structure of a network, and then we propose clustering algorithms and routing algorithms for network formation which is based on minimum spanning tree. After numerous simulations, we show that these schemes result in minimal energy consumption and enhance the network lifetime. Thus, the proposed schemes are more energy-efficient compared to a typical WSN deployment scheme; hence, these schemes are applicable to the green IoT deployment. We show that in the proposed schemes, the nodes are alive for more number of rounds as compared to the existing algorithms. © 2019, Springer Nature Singapore Pte Ltd.
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    Construing microservice architectures: State-of-the-art algorithms and research issues
    (Springer Verlag service@springer.de, 2019) Nene, A.V.; Joseph, C.T.; Chandrasekaran, K.
    Cloud Computing is one of the leading paradigms in the IT industry. Earlier, cloud applications used to be built as single monolithic applications, and are now built using the Microservices Architectural Style. Along with several advantages, the microservices architecture also introduce challenges at the infrastructural level. Five such concerns are identified and analysed in this paper. The paper presents the state-of-art in different infrastructural concerns of microservices, namely, load balancing, scheduling, energy efficiency, security and resource management of microservices. The paper also suggests some future trends and research domains in the field of microservices. © Springer Nature Switzerland AG 2019.
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    Prediction of Energy Efficiency of Main Transportation System Used in Underground Coal Mines – A Statistical Approach
    (Springer Nature, 2020) Sarathbabu Goriparti, N.V.; Murthy, C.S.N.; Mangalpady, A.
    Transport in underground mines i.e. belt conveyor is used for carrying extracted materials from one station to other. Transportation involves energy as its main consumer. An efficient energy system adapted for transporting extracted materials can minimize energy losses, hence resulting in reduced cost of energy. Energy to transportation is provided by means of an electric motor, the efficiency of the electric motor depend on load carried by the system, the length and height to which the material has to be delivered. The present study was carried on the energy efficiency of three different transportation systems in GDK-1&3 incline underground mine, The Singareni Collieries Company Limited, Ramagundam. The present study was carried out considering two cases with first, load varying from 20% to 100% keeping conveyor speed constant. Secondly, with 20% fixed loading and varying the conveyor speed from 1 m/s to 2 m/s. Estimation of the energy efficiency for a unique electric motor was estimated considering both the cases which involved three different lengths and heights. It was observed that with a constant conveyor speed of 2 m/s and filling rate varying from 27.775 kg/m to 5.555 kg/m, the amount of increase in efficiency was found to be 23.92%, 18.75% and 5.25% for Gantry, 5L and Surface conveyors respectively. Also with a constant filling rate of 5.555 kg/m and conveyor speed varying from 1 m/s to 2 m/s, the amount of decrease in efficiency was found to be 13.63%, 11.52% and 1.64% for Gantry, 5L and Surface conveyors respectively. Further a prediction study was carried on the energy efficiency based on the input parameters load, length and height. The model gives an R2 value 87% which is significant. © 2020, Springer Nature Switzerland AG.
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    A Multi-dimensional Study on Impact of Energy Efficiency on Life Cycle Cost of a Single-Family Residential Building
    (Springer Science and Business Media Deutschland GmbH, 2021) Shifad, S.; Pati, P.; Das, B.B.
    A sustainable building is the one which causes least impact on the environment by appropriate selection of construction materials, appliances and other practices. Many rating systems have been put forward in the recent years to provide guidelines for constructing and accessing the performance of green buildings. Indian Green Building Council (IGBC) rating system is one such guideline available in India. eQUEST has been proved to be powerful tool for analysing the projected energy efficiency of buildings in the initial design phase. This particular study aims to identify effectiveness of higher green certification towards energy savings. Building simulation was done for a double-storey residential building situated in western coast city of Mangalore, India for each certification level namely, certified, silver, gold and platinum. The results obtained from the simulation were analysed to quantify the energy-saving potential and energy efficiency of higher green certification of IGBC green homes. Life cycle costs of single-family green residential buildings of similar type and function rated by IGBC rating systems for buildings was evaluated and compared in terms of savings to investment ratio, net saving and payback period. © 2021, Springer Nature Singapore Pte Ltd.